ÃÂ¯ÃÂ»ÃÂ¿# northamerica_usa_wa052 - Haney Road - Breitenmoser Tree Ring Chronology Data
#-----------------------------------------------------------------------
#		World Data Center for Paleoclimatology, Boulder
#				and
#		NOAA Paleoclimatology Program
#-----------------------------------------------------------------------
# NOTE: Please cite Publication, and Online_Resource and date accessed when using these data.
# If there is no publication information, please cite Investigators, Title, and Online_Resource and date accessed.
#
#
# Online_Resource:
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# Online_Resource: https://www.ncdc.noaa.gov/paleo/study/24611
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# Original_Source_URL:https://www.ncdc.noaa.gov/paleo/study/3318
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# Description/Documentation lines begin with #
# Data lines have no #
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# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: northamerica_usa_wa052 - Haney Road - Breitenmoser Tree Ring Chronology Data
#--------------------
# Investigators
#	Investigators:  Breitenmoser, P.; Bronnimann, S.; Frank, D.
#--------------------
# Description_and_Notes
#	Description: Data from Breitenmoser 2014 Journal of past Climate supplementary, see publication for ARSTAN standardization details
#--------------------
# Publication
#	Authors: Breitenmoser, P.; Bronnimann, S.; Frank, D.
#	Published_Date_or_Year: 2014-03-11
#	Published_Title: Forward modelling of tree-ring width and comparison with a global network of tree-ring chronologies
#	Journal_Name: Climate of the Past
#	Volume: 10 
#	Edition:
#	Issue:
#	Pages: 437-449
#	DOI: 10.5194/cp-10-437-2014
#	Online_Resource: www.clim-past.net/10/437/2014/
#	Full_Citation:
#	Abstract: We investigate relationships between climate and tree-ring data on a global scale using the process-based VaganovÃÂ¢ÃÂÃÂShashkin Lite (VSL) forward model of tree-ring width formation. The VSL model requires as inputs only latitude, monthly mean temperature, and monthly accumulated precipitation. Hence, this simple, process-based model enables ring-width simulation at any location where monthly climate records exist. In this study, we analyse the growth response of simulated tree rings to monthly climate conditions obtained from the CRU TS3.1 data set back to 1901. Our key aims are (a) to assess the VSL model performance by examining the relations between simulated and observed growth at 2287 globally distributed sites, (b) indentify optimal growth parameters found during the model calibration, and (c) to evaluate the potential of the VSL model as an observation operator for data-assimilation-based reconstructions of climate from tree-ring width. The assessment of the growth-onset threshold temperature of approximately 4ÃÂ¢ÃÂÃÂ6 C for most sites and species using a Bayesian estimation approach complements other studies on the lower temperature limits where plant growth may be sustained. Our results suggest that the VSL model skilfully simulates site level treering series in response to climate forcing for a wide range of environmental conditions and species. Spatial aggregation of the tree-ring chronologies to reduce non-climatic noise at the site level yielded notable improvements in the coherence between modelled and actual growth. The resulting distinct and coherent patterns of significant relationships between the aggregated and simulated series further demonstrate the VSL modelÃÂ¢ÃÂÃÂs ability to skilfully capture the climatic signal contained in tree-ring series. Finally, we propose that the VSL model can be used as an observation operator in data assimilation approaches to reconstruct past climate.
#--------------------
#	Authors: Anderson, D.M., Tardif, R., Horlick, K., Erb, M.P., Hakim, G.J., Noone, D., Perkins, W.A., and E. Steig
#	Published_Date_or_Year: 2018
#	Published_Title: Additions to the last millennium reanalysis multi-proxy database
#	Journal_Name: Data Science Journal
#	Volume:
#	Edition:
#	Issue:
#	Pages:
#	Report_Number:
#	DOI:
#	Online_Resource:
#	Full_Citation: Anderson, D.M., Tardif, R., Horlick, K., Erb, M.P., Hakim, G., J., Noone, D., Perkins, W.A., and E. Steig, submitted. Additions to the last millennium reanalysis multi-proxy database. Data Science Journal.
#	Abstract: Progress in paleoclimatology increasingly occurs via data syntheses. We describe additions to a collection prepared for use in paleoclimate state estimation, specifically the Last Millennium Reanalysis (LMR).  The 2290 additional series include 2152 tree ring chronologies and 138 other series.  They supplement the collection used previously and together form a database titled LMRdb 1.0.0. The additional data draws from lake core, ice core, coral, speleothem, and tree ring archives, using published data primarily from the NOAA Paleoclimatology archive and a set of tree ring width chronologies standardized from raw International Tree Ring Data Bank ring width series. In contrast to many previous paleo compilations, the data were not selected (screened) on the basis of their environmental correlation, multi-century length, or other attributes. The inclusion of proxies sensitive to moisture and other environmental variables expands their use in data assimilation.  A preliminary calibration using linear regression with mean annual temperature reveals characteristics of the proxy series and their relationship to temperature, as well as the noise and error characteristics of the records. The additional records are structured as individual files in the NOAA Paleoclimatology format and archived at NOAA Paleoclimatology (Anderson et al. 2018) and will continue to be improved and expanded as part of the LMR Project.  The additions represent a four-fold increase in the number of records available for assimilation, provide expanded geographic coverage, and add additional proxy variables.  Applications include data assimilation, proxy system model development, and paleoclimate reconstruction using climate field reconstruction and other methods.
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# Funding_Agency
#	Funding_Agency_Name: Swiss National Science Foundation
#	Grant:
#--------------------
#	Funding_Agency_Name: National Science Foundation
#	Grant:AGS-1304263
#	Funding_Agency_Name: National Oceanic and Atmospheric Administration
#	Grant:NA14OAR4310176
#------------------
# Site_Information
#	Site_Name: Haney Road
#	Location:
#	Country: United States
#	Northernmost_Latitude: 47.3
#	Southernmost_Latitude: 47.3
#	Easternmost_Longitude: -120.55
#	Westernmost_Longitude: -120.55
#	Elevation: 1682 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_wa052B
#	Earliest_Year: 1487
#	Most_Recent_Year: 1980
#	Time_Unit: y_ad
#	Core_Length:
#	Notes: {"database":{"database1":"LMR","database2":"Breits"}} {"climateInterpretation":{"basis":"", "climateVariable":"T", "climateVariableDetail":"air", "interpDirection":"positive", "seasonality":"[6, 7, 8]"}}{"VSLite_parameters":{"T1":"6.32820709253","T2":"17.0835378113","M1":"0.022494910002","M2":"0.452234279382"}}
#--------------------
# Species
#	Species_Name: western larch
#	Species_Code: LAOC
#--------------------
# Chronology:
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#--------------------
# Variables
#
# Data variables follow that are preceded by ## in columns one and two.
# Data line variables format:  Variables list, one per line, shortname-tab-longname-tab-longname components (9 components: what, material, error, units, seasonality, archive, detail, method, C or N for Character or Numeric data)
#
##age	age, , ,years AD, , , , ,N
##trsgi	tree ring standardized growth index, tree ring, ,percent relative to mean growth, , Tree Rings, , ,N
#
#--------------------
# Data:
# Data lines follow (have no #)
# Data line format - tab-delimited text, variable short name as header
# Missing Values: nan
#
age	trsgi
1487	0.847
1488	0.972
1489	0.823
1490	0.944
1491	0.931
1492	0.882
1493	1.103
1494	1.014
1495	1.152
1496	0.909
1497	1.227
1498	0.776
1499	0.973
1500	0.632
1501	0.87
1502	1.11
1503	1.061
1504	1.069
1505	1.247
1506	1.006
1507	0.792
1508	1.169
1509	1.272
1510	1.044
1511	1.364
1512	1.185
1513	1.69
1514	1.204
1515	0.913
1516	1.077
1517	0.908
1518	0.721
1519	0.82
1520	0.62
1521	0.686
1522	1.197
1523	1.194
1524	0.804
1525	0.919
1526	1.187
1527	1.185
1528	1.206
1529	1.476
1530	1.399
1531	1.338
1532	1.229
1533	1.032
1534	1.214
1535	1.021
1536	1.235
1537	0.93
1538	0.748
1539	0.4
1540	0.429
1541	0.698
1542	1.23
1543	1.22
1544	1.383
1545	1.222
1546	1.476
1547	1.343
1548	1.035
1549	0.455
1550	0.723
1551	0.686
1552	0.673
1553	0.263
1554	0.673
1555	0.766
1556	0.962
1557	0.841
1558	1.134
1559	1.023
1560	0.98
1561	1.381
1562	1.171
1563	1.185
1564	1.31
1565	1.392
1566	0.641
1567	0.435
1568	0.817
1569	0.802
1570	1.019
1571	1.358
1572	1.363
1573	0.836
1574	0.753
1575	0.49
1576	0.483
1577	0.716
1578	0.894
1579	1.125
1580	1.491
1581	1.445
1582	1.076
1583	1.199
1584	1.19
1585	1.503
1586	1.686
1587	1.319
1588	0.666
1589	1.141
1590	1.045
1591	0.841
1592	0.687
1593	0.532
1594	1.069
1595	1.02
1596	1.211
1597	1.794
1598	1.86
1599	1.541
1600	1.425
1601	1.265
1602	0.939
1603	0.816
1604	0.967
1605	0.392
1606	0.694
1607	0.726
1608	1.268
1609	1.2
1610	1.681
1611	0.765
1612	1.261
1613	1.021
1614	1.137
1615	1.039
1616	0.371
1617	0.338
1618	0.53
1619	0.584
1620	0.783
1621	0.807
1622	0.845
1623	0.769
1624	1.223
1625	0.886
1626	0.767
1627	0.628
1628	0.269
1629	0.372
1630	0.659
1631	0.564
1632	0.819
1633	0.857
1634	0.673
1635	0.941
1636	0.814
1637	0.798
1638	0.989
1639	0.861
1640	1.02
1641	1.162
1642	0.965
1643	1.106
1644	0.762
1645	0.211
1646	0.272
1647	0.537
1648	0.789
1649	1.021
1650	1.057
1651	1.057
1652	1.222
1653	1.037
1654	0.632
1655	0.721
1656	1.029
1657	0.987
1658	1.476
1659	1.592
1660	1.126
1661	1.084
1662	1.42
1663	1.247
1664	1.296
1665	1.385
1666	1.263
1667	0.884
1668	1.26
1669	1.118
1670	0.65
1671	0.283
1672	0.683
1673	0.824
1674	0.747
1675	0.99
1676	1.463
1677	1.474
1678	1.726
1679	1.589
1680	1.591
1681	1.136
1682	0.999
1683	1.471
1684	1.038
1685	1.139
1686	1.012
1687	1.379
1688	1.38
1689	1.4
1690	1.524
1691	1.591
1692	1.072
1693	0.503
1694	0.531
1695	0.811
1696	0.827
1697	1.123
1698	1.167
1699	1.404
1700	0.822
1701	0.751
1702	0.414
1703	0.429
1704	0.628
1705	0.699
1706	1.159
1707	0.839
1708	0.745
1709	0.52
1710	0.851
1711	0.759
1712	0.474
1713	0.362
1714	0.677
1715	0.895
1716	0.896
1717	1.111
1718	1.047
1719	0.794
1720	0.876
1721	1.288
1722	1.135
1723	0.775
1724	0.559
1725	0.973
1726	0.627
1727	1.278
1728	1.508
1729	1.527
1730	0.778
1731	0.553
1732	0.608
1733	0.951
1734	1.034
1735	1.169
1736	0.939
1737	1.07
1738	1.817
1739	1.441
1740	1.698
1741	1.052
1742	0.771
1743	0.914
1744	0.928
1745	1.078
1746	1.597
1747	1.15
1748	1.16
1749	0.955
1750	0.412
1751	0.662
1752	1.075
1753	1.038
1754	1.098
1755	1.112
1756	1.145
1757	1.583
1758	0.718
1759	0.794
1760	0.929
1761	0.781
1762	1.294
1763	0.873
1764	1.291
1765	1.508
1766	1.636
1767	1.405
1768	1.618
1769	1.201
1770	0.857
1771	0.456
1772	1.187
1773	1.166
1774	1.552
1775	1.287
1776	1.103
1777	0.965
1778	1.455
1779	1.386
1780	1.156
1781	1.42
1782	0.991
1783	0.341
1784	0.489
1785	0.64
1786	1.188
1787	1.187
1788	1.171
1789	0.849
1790	0.947
1791	1.42
1792	0.929
1793	1.18
1794	0.582
1795	1.058
1796	0.991
1797	1.091
1798	1.205
1799	1.404
1800	0.262
1801	0.45
1802	0.655
1803	0.706
1804	1.179
1805	1.011
1806	1.204
1807	0.863
1808	0.992
1809	1.336
1810	1.26
1811	0.8
1812	0.432
1813	0.212
1814	0.362
1815	0.587
1816	0.843
1817	1.036
1818	1.178
1819	0.812
1820	0.736
1821	0.589
1822	0.259
1823	0.282
1824	0.288
1825	0.376
1826	0.429
1827	0.468
1828	0.618
1829	0.626
1830	0.587
1831	0.305
1832	0.105
1833	0.448
1834	0.57
1835	0.619
1836	0.534
1837	0.76
1838	0.729
1839	1.035
1840	0
1841	0.131
1842	0.192
1843	0.291
1844	0.406
1845	0.52
1846	0.685
1847	0.767
1848	0.786
1849	0.656
1850	0.853
1851	0.923
1852	1.04
1853	1.189
1854	1.034
1855	1.139
1856	0.659
1857	0.578
1858	0.777
1859	0.962
1860	1.201
1861	1.152
1862	0.891
1863	0.791
1864	0.851
1865	1.275
1866	0.973
1867	1.102
1868	1.097
1869	1.017
1870	0.825
1871	0.888
1872	1.22
1873	1.295
1874	1.327
1875	1.291
1876	1.417
1877	0.44
1878	0.879
1879	0.875
1880	1.219
1881	0.888
1882	1.586
1883	1.282
1884	0.749
1885	0.337
1886	1.015
1887	1.152
1888	1.456
1889	1.409
1890	1.307
1891	0.87
1892	0.7
1893	0.89
1894	0.938
1895	0.87
1896	0.684
1897	1.421
1898	1.579
1899	1.294
1900	1.234
1901	1.244
1902	1.121
1903	1.779
1904	1.685
1905	0.89
1906	0.544
1907	1.136
1908	1.35
1909	1.086
1910	1.361
1911	1.461
1912	1.421
1913	1.856
1914	0.717
1915	0.65
1916	0.867
1917	0.907
1918	0.884
1919	0.868
1920	0.776
1921	1.078
1922	1.184
1923	0.527
1924	0.467
1925	0.514
1926	0.686
1927	1.163
1928	1.437
1929	1.333
1930	0.931
1931	1.063
1932	1.07
1933	1.449
1934	1.386
1935	1.306
1936	1.633
1937	1.587
1938	1.297
1939	1.119
1940	1.402
1941	1.421
1942	1.174
1943	1.302
1944	1.343
1945	1.026
1946	0.721
1947	1.303
1948	1.743
1949	0.775
1950	0.691
1951	0.605
1952	0.634
1953	0.856
1954	1.258
1955	1.323
1956	1.275
1957	1.524
1958	1.463
1959	0.873
1960	0.946
1961	1.121
1962	1.229
1963	1.846
1964	1.707
1965	1.791
1966	1.401
1967	1.324
1968	0.589
1969	0.742
1970	0.75
1971	0.55
1972	0.88
1973	1.059
1974	1.255
1975	1.212
1976	0.965
1977	0.263
1978	0.403
1979	0.505
1980	0.734